Python Software Engineer

Country:

SOFTWARE ENGINEER

As a Python Software Engineer in the AI Tech Team, you will be a technical leader in the design, development, and deployment of scalable and high-performance AI-powered applications. Your mission will be to architect robust systems, write exceptional code, and translate complex AI models and business requirements into production-ready software solutions that deliver significant business value.

You will work in close collaboration with AI Experts, Data Scientists, ML Engineers, and enterprise technology partners to build the software that brings AI products to life across Santander. This is a critical role in the AI transformation agenda, where you will empower the team by building responsible and scalable AI applications.

Key Responsibilities:

• Lead the architectural design and development of high-performance backend services and APIs using Python (e.g., FastAPI, Django).
• Architect and build robust, scalable software systems that integrate, serve, and manage machine learning models and GenAI applications.
• Write clean, maintainable, and well-tested Python code, and champion software engineering best practices, including comprehensive code reviews and automated testing.
• Collaborate closely with AI Experts and Data Scientists to understand model requirements and effectively integrate them into business-critical systems.
• Optimize application performance, ensuring scalability, reliability, and low latency for AI services in production environments.
• Mentor and guide junior engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
• Contribute to the team's technical strategy and roadmap, making key architectural decisions and owning major components of the system.
• Deploy and manage applications using containerization (Docker, Kubernetes) and cloud platforms (AWS or GCP).
• Ensure the security, compliance, and governance standards are met within the applications you build.

Required Experience:

• 5+ years of experience in software engineering with a strong focus on Python.
• Proven experience building, deploying, and maintaining large-scale, production-grade applications.
• Hands-on expertise with modern Python backend frameworks (e.g., FastAPI, Django, Flask).
• Strong experience designing and building RESTful APIs.
• Solid experience with containerization (Docker, Kubernetes) and deploying applications to cloud environments (AWS or GCP).
• Familiarity with the challenges of productionizing machine learning models; experience working directly with ML teams is a strong plus.

Education:

• BSc or MSc in Computer Science, Engineering, or a related technical field

Skills & Competencies:

• Expert proficiency in Python and its data science/backend ecosystem (e.g., LangGraph, SQLAlchemy).
• Deep understanding of software architecture, design patterns, and data structures.
• Experience with both relational (e.g., PostgreSQL) and NoSQL databases.
• Strong understanding of CI/CD principles and experience with tools such as GitHub Actions, GitLab CI, or Jenkins.
• Experience with application monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
• Experience working in agile, cross-functional teams focused on rapid delivery.
• Strong problem-solving skills, a deep sense of ownership, and a proactive attitude.
• Excellent communication skills with the ability to lead technical discussions and collaborate effectively with both technical and non-technical stakeholders.

Why Join Us?

You will be part of a high-impact, innovation-driven team shaping the future of AI at Santander. This is a unique opportunity to influence the deployment of cutting-edge AI products that improve customer experience, unlock growth, and drive operational excellence at scale.